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Design of Anti-interference System for Fully Autonomous UAV Based on ADRC- EKF Algorithm

机译:基于ADRC-EKF算法的全自动无人机抗干扰系统设计

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In order to solve the short-time drift problem of height data caused by environmental and noisy pollution, a multi-rotor aircraft control system was designed to prevent the aircraft from falling rapidly in a short time during the autonomous cruise. The problem of data loss due to strong interference on the UAV, which is equipped with the Real-time kinematic (RTK), can be well solved by introducing an inertial measurement unit (IMU) for high resolution, and using an Extended Kalman filter and IMU to calculate system acceleration (ACC) as well as altitude predictions for eliminating height drift due to sensor errors. In addition, the ADRC control algorithm is also introduced to control the attitude of the aircraft, to realize the control compensation, and finally to control the height of the drone through the three- ring cascade PID algorithm. The experimental results show that the proposed algorithm can make the UAV get better height and attitude control even though the external disturbance is unknown.
机译:为了解决环境和噪声污染引起的高度数据的短时漂移问题,设计了一种多旋翼飞机控制系统,以防止飞机在自主巡航过程中在短时间内迅速坠落。通过引入具有高分辨率的惯性测量单元(IMU)并使用扩展卡尔曼滤波器和IMU计算系统加速度(ACC)以及高度预测,以消除由于传感器错误而引起的高度漂移。此外,还引入了ADRC控制算法来控制飞机的姿态,实现控制补偿,最后通过三环级联PID算法来控制无人机的高度。实验结果表明,即使外界干扰未知,该算法也能使无人机获得更好的高度和姿态控制。

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